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By Hugh Evans |
I’ve been active in technical communities like PyData and codebar across the UK for nearly a decade now and owe much of my career to meeting and learning from cool people at events. Now, as someone with a professional interest in community organising, I spend a lot of my time looking for events to sponsor or speak at. But whilst finding technical events and communities can be tricky, I think I’ve found a solution using Kafka that might be useful for you too.
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By Roman Pozdnyakov |
You've felt it. You're deep in a flow state with Claude or Cursor, building the next great thing, and then you hit the wall. Time to leave your editor, open a browser, click through a console, copy a connection string, paste it back, and pray you didn't fumble a character. The vibe is gone. What if your AI agent could just... do it? Deploy the database. Create the Kafka topic. Ship the app. All without you ever leaving the conversation. Today, that's real.
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By Jay Miller |
Aiven for Valkey includes the Valkey Search module setup and ready to go. Here's what that looks like in practice: a small online shop adding real search on top of the cache it's already running. Needle & Yarn sells the yarn you crochet with (skeins) and the design patterns you crochet from. Like a lot of e-commerce backends, it already runs Valkey as a product cache, with each product stored as a Hash for hot-path performance.
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By Tibs (Tony Ibbs) |
In this article we’ll show how we built an image search demo in Aiven Apps. The demo uses the CLIP Large Multimodal Model (LMM) to turn a user’s text prompts into a vector that can be compared with the precomputed vectors for a corpus of images, allowing the user to find images based on their text. While in this example the LMM input (the text prompt) is coming from the user, the principle is the same as for an internally generated query.
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By Jay Miller |
Every time your app asks the database 'does this row exist,' it pays the cost of a database query to get back 'no'.
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By Andrei Trepet |
OpenSearch isn't just a search engine anymore. Recent releases moved it into AI infrastructure: agentic memory built in, Better Binary Quantization (BBQ) compressing vectors 32x, token-usage tracking, and a one-command Observability Stack. A stack for building practical AI applications, not just indexing. The catch is that production-sized OpenSearch clusters aren't where you want to prototype.
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By Tibs (Tony Ibbs) |
We recently announced the Limited Availability (LA) launch of Aiven Apps, which lets teams define, run, and scale production-ready, real-time applications using container and Compose-based workflows they already know. It provides a managed, stateless runtime that runs directly inside your data perimeter, letting you deploy applications alongside open-source data services like PostgreSQL and Apache Kafka.
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By Julie Bastien |
Many businesses see emissions reduction as a cost sink: assigning people, maintaining compliance, the hard labor of calculating carbon signatures. That view is out of date – and a new partnership between Aiven and data provider OxygenIT demonstrates why. Our premise: your carbon footprint isn't just about understanding emissions; it's about understanding your business. Today, we're announcing a new service that helps with both.
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By Maulik Parikh |
In the high-stakes world of Online Travel Agencies (OTAs) like Expedia, Hopper, Priceline, and Airbnb, seconds matter. A traveler searching for a "beachfront stay in Hawaii" isn't just looking for a room — they are reacting to weather changes, fluctuating flight prices, and social media trends. Traditional travel platforms often rely on stale data: yesterday's search history or last week's preferences. To truly compete, travel platforms must pivot to Real-Time Context Engineering.
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By Juha Mynttinen |
Luckily, in Kafka cache invalidation is not an issue, but we still need to name things. Let me tell you a story about naming things in Kafka.
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By Aiven
Want to build context-aware AI agents with production-ready databases? In this video, we dive into the brand-new Aiven MCP (Model Context Protocol) and show you how to instantly connect your AI assistants to fully managed PostgreSQL and Apache Kafka with zero custom code!
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By Aiven
Can a knowledge graph do more than store facts — can it actually run your agent? In this talk from Context is King in London, Teodoro Baldazzi (Principal AI Engineer at Prometheux) makes the case for ontologies as executable context: structured knowledge that doesn't just inform AI agents, but actively shapes how they reason and act. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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By Aiven
Agents are only as good as the queries they can run. In this talk from Context is King in London, Egor Kraev (Co-Founder & CTO of Motley) breaks down how a well-designed semantic layer becomes the connective tissue between natural language intent and reliable data retrieval. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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By Aiven
As AI agents gain more autonomy, safety can't be an afterthought. In this talk from Context is King in London, Jonatan von Martens (AI Safety Engineer at ElevenLabs) shares what it actually takes to build agents that behave reliably in production. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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By Aiven
In this episode of Get Kafka-Nated, host Hugh Evans is joined by Stanislav Kozlovski, Apache Kafka committer, independent consultant, and author of 2 Minute Streaming — a newsletter with over 7,000 subscribers. After six years at Confluent, including time on the Kafka Serverless team, Stan went independent and has been writing and consulting full-time. He's one of the most recognised voices in the Kafka community, with over 50k followers across social media. In this session we go somewhere the streaming industry rarely goes honestly: Kafka costs.
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By Aiven
In this episode of Get Kafka-Nated, host Hugh is joined by Anatolii Popov, Senior Software Engineer at Aiven, to dive into one of the most talked-about integrations in the modern data stack: Kafka to Apache Iceberg. Anatolii was accepted to speak at Iceberg Summit 2026 on debugging the Kafka Connect Iceberg Connector, and in this session we’ll cover the talk he would have given, including common failure modes, debugging locally, catalog complexities, and where the integration is heading next.
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By Aiven
Join Jeff Mery and Josep Prat as they discuss the future of Kafka and Streaming. In this deep dive, we break down the architectural shifts and hidden "taxes" currently hitting the data streaming ecosystem—and how to engineer your way out of them. In this video, you’ll see: The "Streaming Tax" Breakdown: A transparent look at how 3x replication, inter-AZ egress, and eCKU markups are inflating your TCO by up to 500%.
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By Aiven
March 11th, 4PM GMT Yingjun Wu is the founder and CEO of RisingWave Labs, a company building a distributed SQL database for stream processing, with over a decade of experience spanning academic research and large-scale production systems. In this episode we'll be sitting down for a coffee and a conversation with Yingjun's about what a streaming database actually is, how message brokers and streaming databases fit together in real-world architectures, and what his journey from database researcher to founder has taught him.
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By Aiven
In Episode 3 of Elephant in the Room, we move from discussion to delivery with a hands-on, live build of a real, community-focused application. Join Jay Miller, Abigail Mesrenyame Dogbe and Andres Pineda as they collaboratively design and build a CFP (Call for Proposals) review platform using PostgreSQL and Django. The aim: create a practical tool that helps speakers receive better feedback and helps organisers discover new and diverse voices.
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By Aiven
Why are today’s AI data architectures broken? Giannis Polyzos and Hugh Evans unpack what’s failing.
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Aiven provides managed open source data technologies on all major clouds.
With Aiven, developers can do what they do best: create applications. Meanwhile, we do what we do best; manage cloud data infrastructure. We enable customers to drive business results from open source that trigger true transformations.
Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, OpenSearch, Redis, InfluxDB, Grafana, and M3 in more than 90 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms.
Make the most out of open source with Aiven:
- Focus on development: Developers can do what they do best: create applications. We do what we do best: manage cloud data infrastructure.
- No vendor lock-in: All solutions are open source. You can also freely move data between clouds or create multi-cloud environments.
- Predictable pricing: Know exactly how much you’ll be paying and why. We bundle networking, storage and basic support costs together.
- 99.99% uptime SLA: We are committed to keeping your Aiven software online. If there’s ever an issue, we’ll be there to fix it.
Freedom to build awesome applications.